Is Your Knowledge Base
Actually AI-Ready?
Most projects that connect AI to a company’s own knowledge are won or lost before a
model is ever connected. Score yourself in two minutes, then get a free diagnostic of
your actual content.
Two-minute score · Diagnostic run on your real content · Free, no obligation
A score you generate yourself
Nine questions, instant result, nothing stored or submitted.
A diagnostic of your real content
We review an actual sample, not a self-report.
Numbers you can trace
Every finding points at your content, not a market average.
You already own the knowledge. The failure point is almost never the model. It is whether your content is good, whether the right piece can be found, and whether anyone owns keeping it true. Get those wrong and the best model on the market still produces answers your teams quietly stop trusting.
Three Pillars Decide
Whether a Knowledge Base is Ready
We score each one on its own, because a strong system needs all three. A weakness in any single pillar degrades the whole thing.
1 Content quality
Is the content good?
Outdated files, duplicates, and contradictory policies produce unreliable answers no matter how good the retrieval is.
- Currency: how stale is critical content
- Duplication and contradiction
- An agreed single source of truth
- Coverage of the questions teams actually ask
2 Retrieval readiness
Can the right piece be found?
Content that is scattered or free-form is hard to retrieve precisely, which is what makes answers drift.
- Where knowledge lives, and how many systems
- Structure, formats, and metadata
- How findable answers are today
- Fit for precise versus broad retrieval
3 Governance ownership
Does anyone own keeping it true?
Without a named owner and a review cadence, the knowledge base degrades after launch and the system slowly stops being trusted.
- A named, accountable owner
- A defined review cadence
- Consolidated access and permissions
- Version control and authority rules
We Do Not Just Assess This, We Build and Run It
We engineered a grounded, multimodal knowledge system running live in an audit and inspection environment. Every output is grounded in the client's own approved SOPs and standards: a field assistant answering by text, image, or voice, with findings linked back to the source material behind them.
Score It Yourself or Have Us Score It
Both score those same three pillars. The difference is who does the looking, and what the score is based on.
Readiness Score
A quick provisional read, so you know roughly where you stand before you involve anyone else.
- Who does itYou, on your own
- Based onNine questions you answer from memory
- TakesAbout two minutes
- You getA level for each pillar and the name of your weakest one
- CatchIt is a self-report, so it is only as honest as your answers
Readiness Diagnostic
A real read on your actual content, which is usually harder than the one people give themselves.
- Who does itOur engineers
- Based onA representative sample of your real content
- TakesA short intake call, then we work from the sample
- You getA scored picture, a prioritized fix list, a go or no-go on piloting, and a named-owner recommendation
- CatchWe need access to a slice of your content to do it
Score your knowledge base yourself
Nine questions across the three pillars, scored instantly in your browser. Answer honestly, the result is only useful if you do. Nothing is stored or submitted.
What the Diagnostic Gives You
1
A scored readiness picture
Across content, retrieval, and governance, based on a review of your actual content sample, not a self-report.
2
A prioritized fix list
Ranked by impact, so you know what to do first and what can wait.
3
A clear go or no-go
On piloting, and if go, which single use case is the safest place to start.
4
A named-owner recommendation
For governance, because the system needs one to survive past launch.
Four Steps With No Disruption to Your Teams
STEP 1
Short intake
You tell us where your knowledge lives and which teams feel the pain most.
STEP 2
Content sample review
We assess a representative slice of your real content against the three pillars.
STEP 3
Scored readout
You get a per-pillar score and an honest read on where you actually stand.
STEP 4
Recommendations call
We walk you through the fix list and the safest first use case to pilot.
Built for the Person
Who Has to Justify the Investment
If you are being asked to show measurable outcomes from AI, this tells you whether your foundation can support them yet.
Find out before you spend the budget
Tell us where your knowledge lives. We will come back with a scored readiness picture and the fixes to make first.
